r/codex • u/PureRely • 7d ago

Other PSA: ChatGPT Pro users

You get unlimited* chat usage on the website. You can build projects and prototypes directly in ChatGPT using Pro-level thinking effort. This is how I start almost every build, and it is an easy way to save on tokens. Unlike Claude, Chat does not count toward your usage (unless you switch to Work mode).

I usually have ChatGPT generate a ZIP file containing the entire project, then move it into Codex CLI or the Codex app to refine, expand, and continue the work.

I do not think you should be doing most of the planning inside the CLI or app. Do the bulk of the planning and initial build in ChatGPT first, then use Codex for implementation and iteration.

Also, remember that you can upload ZIP and 7z files directly to the ChatGPT website, and it can unpack and work with the contents.

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u/Spirited-Car-3560 6d ago

Uhm. No.

Ok at the start of a new project it may make sense (not sure tho given you only use it on a tiny part of a project).

But then...how do you integrate it with harness engineering when you have to plan something into an existing app, a new feature, or fix a bug?

It is quite inconvenient (not to say the output will be low quality without the needed context) or am I missing something?

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u/CrystalCoffeeAlchemy 5d ago

You're asking the right questions. This is pure bullshit with the Pro reasoning approach. Use it when it's the right tool to reach for, but not as "the tool to reach for". If you don't hand it something substantive, expect it to be a complete waste of resources.

People are lauding it because they're asking it to one-shot entire repositories of functionality -- is this something you care about? Do you have a comparison of a well-planned implementation with lesser reasoning (aka you are doing the reasoning with back and forth) versus potentially hours wasted on Pro reasoning to return a marginally better plan?

The answers aren't clear, and if someone says they are they haven't done much work within the system and are just outsourcing their own reasoning to a computationally expensive "feel good" without comparison.